Triple
T8975672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claudia Larson |
E214380
|
entity |
| Predicate | visitsFamilyDuring |
P26942
|
FINISHED |
| Object | Thanksgiving |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Thanksgiving | Statement: [Claudia Larson, visitsFamilyDuring, Thanksgiving]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitsFamilyDuring Context triple: [Claudia Larson, visitsFamilyDuring, Thanksgiving]
-
A.
visits
Indicates that one entity goes to or spends time at the location or presence of another entity.
-
B.
annualVisitation
Indicates a recurring visit or attendance that takes place once every year between the related entities.
-
C.
visitedDuring
chosen
Indicates that one entity was present at or traveled to another entity within a specified time period or event.
-
D.
canVisit
Indicates that one entity is permitted or able to go to or access another entity or location.
-
E.
accompaniedDuring
Indicates that one entity was present with and accompanied another entity during a specified event or time period.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6784d1808190899c980f76084ff8 |
completed | April 1, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:02 p.m.